F. Vicente

862 total citations
56 papers, 665 citations indexed

About

F. Vicente is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, F. Vicente has authored 56 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Agronomy and Crop Science, 12 papers in Animal Science and Zoology and 12 papers in Genetics. Recurrent topics in F. Vicente's work include Ruminant Nutrition and Digestive Physiology (28 papers), Genetic and phenotypic traits in livestock (11 papers) and Reproductive Physiology in Livestock (9 papers). F. Vicente is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (28 papers), Genetic and phenotypic traits in livestock (11 papers) and Reproductive Physiology in Livestock (9 papers). F. Vicente collaborates with scholars based in Spain, Mexico and Canada. F. Vicente's co-authors include A. Martínez-Fernández, Ana Soldado, J.A. Guada, B. de la Roza-Delgado, J. Balcells, C. Castríllo, Manuel González-Ronquillo, Ernesto Morales-Almaráz, Ignacio Arturo Domínguez Vara and Carlos Manuel Arriaga-Jordán and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

F. Vicente

53 papers receiving 640 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Vicente Spain 15 392 175 139 103 92 56 665
María Jesús Alcalde Aldea Spain 17 271 0.7× 643 3.7× 222 1.6× 99 1.0× 104 1.1× 64 940
V. Fedele Italy 16 395 1.0× 362 2.1× 222 1.6× 117 1.1× 158 1.7× 31 907
J.B. COULON France 9 369 0.9× 277 1.6× 200 1.4× 106 1.0× 137 1.5× 28 691
Stephen McAuliffe Ireland 8 253 0.6× 272 1.6× 108 0.8× 114 1.1× 122 1.3× 10 574
M. Vanbelle Belgium 12 279 0.7× 146 0.8× 115 0.8× 73 0.7× 62 0.7× 48 533
Fernando Zawadzki Brazil 17 323 0.8× 408 2.3× 77 0.6× 43 0.4× 36 0.4× 32 623
Daniel Bureš Czechia 18 303 0.8× 732 4.2× 327 2.4× 115 1.1× 105 1.1× 55 1.0k
Marco Franzoi Italy 13 322 0.8× 165 0.9× 195 1.4× 123 1.2× 42 0.5× 37 583
R. Casals Spain 15 626 1.6× 304 1.7× 299 2.2× 57 0.6× 184 2.0× 32 796
Ruth Blauwiekel United States 14 400 1.0× 173 1.0× 204 1.5× 102 1.0× 109 1.2× 19 660

Countries citing papers authored by F. Vicente

Since Specialization
Citations

This map shows the geographic impact of F. Vicente's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by F. Vicente with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Vicente more than expected).

Fields of papers citing papers by F. Vicente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Vicente. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by F. Vicente. The network helps show where F. Vicente may publish in the future.

Co-authorship network of co-authors of F. Vicente

This figure shows the co-authorship network connecting the top 25 collaborators of F. Vicente. A scholar is included among the top collaborators of F. Vicente based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. Vicente. F. Vicente is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vicente, F., et al.. (2024). Development of a Gold Nanoparticle-Based Sensor for Authentication of Organic Milk Based on Differential Levels of miRNA. Nanomaterials. 14(16). 1364–1364. 2 indexed citations
2.
Vicente, F., et al.. (2021). Study of the Variability in Fatty Acids and Carotenoid Profiles: Laying the Ground for Tank Milk Authentication. Sustainability. 13(8). 4506–4506. 6 indexed citations
3.
4.
5.
Estrada-Flores, Julieta Gertrudis, et al.. (2017). Productive, economic and environmental effects of optimised feeding strategies in small-scale dairy farms in the Highlands of Mexico. SHILAP Revista de lepidopterología. 7 indexed citations
6.
Vicente, F., et al.. (2017). Capacity of milk composition to identify the feeding system used to feed dairy cows. Journal of Dairy Research. 84(3). 254–263. 23 indexed citations
7.
Estrada-Flores, Julieta Gertrudis, et al.. (2017). Maize silage as sole forage source for dairy cows in small-scale systems in the highlands of central Mexico. The Indian Journal of Animal Sciences. 87(6). 1 indexed citations
8.
Vicente, F., et al.. (2016). Cut and carry vs. grazing of cultivated pastures in small-scale dairy systems in the central highlands of Mexico. SHILAP Revista de lepidopterología. 15 indexed citations
9.
Soldado, Ana, et al.. (2016). Changes on Levels of Essential Trace Elements in Selenium Naturally Enriched Milk. Journal of food and nutrition research. 4(5). 303–308. 5 indexed citations
10.
Arriaga-Jordán, Carlos Manuel, et al.. (2016). Molasses supplementation for dual-purpose cows during the dry season in subtropical Mexico. Tropical Animal Health and Production. 48(3). 643–648. 9 indexed citations
11.
Martínez-Fernández, A., F. Vicente, A. van den Pol‐van Dasselaar, et al.. (2015). Current state of the feeding systems on dairy farms in the Principality of Asturias (Spain).. 105–106. 1 indexed citations
12.
Vicente, F., et al.. (2015). The amount of maize in the feed ration influences milk composition in Northern Spain.. 122–124.
13.
Martínez-Fernández, A., et al.. (2014). Effect of total mixed ration composition and daily grazing pattern on milk production, composition and fatty acids profile of dairy cows. Journal of Dairy Research. 81(4). 471–478. 11 indexed citations
14.
Morales-Almaráz, Ernesto, Ana Soldado, A. Martínez-Fernández, et al.. (2010). Improving the fatty acid profile of dairy cow milk by combining grazing with feeding of total mixed ration. Journal of Dairy Research. 77(2). 225–230. 55 indexed citations
15.
Vicente, F., A. Martínez-Fernández, B. de la Roza-Delgado, et al.. (2006). Influence of partial Total Mixed Rations amount on the grass voluntary intake by dairy cows.. 161–163. 4 indexed citations
16.
Castríllo, C., M.D. Baucells, F. Vicente, Fernando Muñoz, & Donato Andueza. (2005). Energy evaluation of extruded compound foods for dogs by near‐infrared spectroscopy. Journal of Animal Physiology and Animal Nutrition. 89(3-6). 194–198. 13 indexed citations
17.
González-Ronquillo, Manuel, J. Balcells, J.A. Guada, & F. Vicente. (2003). Purine Derivative Excretion in Dairy Cows: Endogenous Excretion and the Effect of Exogenous Nucleic Acid Supply. Journal of Dairy Science. 86(4). 1282–1291. 88 indexed citations
18.
Castríllo, C., F. Vicente, & J.A. Guada. (2001). The effect of crude fibre on apparent digestibility and digestible energy content of extruded dog foods. Journal of Animal Physiology and Animal Nutrition. 85(7-8). 231–236. 28 indexed citations
19.
Castríllo, C., F. Vicente, & J.A. Guada. (2001). Urinary energy losses in dogs fed commercial extruded foods. Journal of Animal Physiology and Animal Nutrition. 85(7-8). 237–241. 5 indexed citations
20.
Rweyemamu, Mark M., et al.. (1986). Efficacy of avridine as an adjuvant for Newcastle disease virus antigen in chickens. American Journal of Veterinary Research. 47(6). 1243–1248. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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